Articles | Volume 19, issue 8
https://doi.org/10.5194/bg-19-2295-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-19-2295-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Apr 2022
Research article |
| 29 Apr 2022
| 29 Apr 2022
Species richness and functional attributes of fish assemblages across a large-scale salinity gradient in shallow coastal areas
Institute of Coastal Research, Department of Aquatic Resources, Swedish
University of Agricultural Sciences, Skolgatan 6, 74243 Öregrund, Sweden
Mårten Erlandsson
Institute of Coastal Research, Department of Aquatic Resources, Swedish
University of Agricultural Sciences, Skolgatan 6, 74243 Öregrund, Sweden
Martin Karlsson
Institute of Coastal Research, Department of Aquatic Resources, Swedish
University of Agricultural Sciences, Skolgatan 6, 74243 Öregrund, Sweden
now at: Department for Marine Management, The Swedish
Agency for Marine and Water Management, Gullbergs Strandgata 15, 41104
Gothenburg, Sweden
Lena Bergström
CORRESPONDING AUTHOR
Institute of Coastal Research, Department of Aquatic Resources, Swedish
University of Agricultural Sciences, Skolgatan 6, 74243 Öregrund, Sweden
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Cited
18 citations as recorded by crossref.
- Coastal zones of the Baltic Sea in the Anthropocene: Current state and the impact of climate change M. Voss et al. https://doi.org/10.1016/j.ecss.2025.109504
- The socioeconomic and environmental niche of protected areas reveals global conservation gaps and opportunities D. Mouillot et al. https://doi.org/10.1038/s41467-024-53241-1
- Examining fish diversity across an inverse salinity gradient using eDNA K. Richards et al. https://doi.org/10.1016/j.ecss.2026.110109
- From fishers to sea rangers: a new wave in marine stewardship K. Schwerdtner Máñez & M. Schlockwerder https://doi.org/10.1038/s44183-026-00226-w
- Widespread estuarine fishes drive long-term spatial beta diversity across a subtropical marine-estuarine gradient R. Lima https://doi.org/10.1016/j.ecss.2026.110275
- Multi-class metazoan diversity and community composition in tropical estuaries assessed by eDNA metabarcoding: a baseline dataset from South Sumatra, Indonesia M. Melki et al. https://doi.org/10.1007/s00027-026-01369-1
- Temporal changes in the Bothnian Sea food web reveal a deterioration linked to fishing pressure and recent eutrophication C. Faithfull et al. https://doi.org/10.1093/icesjms/fsaf025
- Biodiversity and spatial heterogeneity of fish communities in response to geo-environmental disturbances Z. Lei et al. https://doi.org/10.1016/j.ecss.2025.109322
- Community-level modelling of pelagic fish assemblages in the Baltic Sea reveals temporal shifts and effects of environmental drivers V. Mobilia et al. https://doi.org/10.1093/icesjms/fsag166
- Machine learning models reveal the spatial distribution and key environmental drivers of Coilia nasus in East China Sea's coastal waters Z. Xiao et al. https://doi.org/10.1016/j.ecss.2026.110139
- Consistent drivers of coastal biodiversity across the tree of life E. Sigsgaard et al. https://doi.org/10.1098/rspb.2025.3219
- Some like it salty - examining fish assemblages across an extreme salinity gradient, Shark Bay, Western Australia K. Richards et al. https://doi.org/10.1016/j.marenvres.2025.107307
- Integrating fish taxonomic and functional diversity, co-occurrence networks, and assembly processes to resolve seasonal community dynamics using eDNA metabarcoding in Xiamen Bay, China Y. Zhou et al. https://doi.org/10.1016/j.marenvres.2026.108241
- Fish species detection by environmental DNA metabarcoding by three surface sampling methods S. Ahmed et al. https://doi.org/10.1016/j.rsma.2025.104557
- Systemic food web reorganization due to multiple pressures in seven Baltic Sea sub-basins C. Faithfull et al. https://doi.org/10.1093/icesjms/fsag112
- Documenting the ichthyofauna and the current conservation status of one of the largest Brazilian bays J. de Oliveira-Silva et al. https://doi.org/10.1016/j.rsma.2024.103646
- Improving assessments of coastal ecosystems – Adjusting coastal fish indicators to variation in ambient environmental factors R. Naddafi et al. https://doi.org/10.1016/j.ecolind.2022.109604
- Identifying priority areas for conservation to promote connectivity and mitigate the impacts of anthropogenic disturbance E. Sacre et al. https://doi.org/10.1111/cobi.70083
18 citations as recorded by crossref.
- Coastal zones of the Baltic Sea in the Anthropocene: Current state and the impact of climate change M. Voss et al. https://doi.org/10.1016/j.ecss.2025.109504
- The socioeconomic and environmental niche of protected areas reveals global conservation gaps and opportunities D. Mouillot et al. https://doi.org/10.1038/s41467-024-53241-1
- Examining fish diversity across an inverse salinity gradient using eDNA K. Richards et al. https://doi.org/10.1016/j.ecss.2026.110109
- From fishers to sea rangers: a new wave in marine stewardship K. Schwerdtner Máñez & M. Schlockwerder https://doi.org/10.1038/s44183-026-00226-w
- Widespread estuarine fishes drive long-term spatial beta diversity across a subtropical marine-estuarine gradient R. Lima https://doi.org/10.1016/j.ecss.2026.110275
- Multi-class metazoan diversity and community composition in tropical estuaries assessed by eDNA metabarcoding: a baseline dataset from South Sumatra, Indonesia M. Melki et al. https://doi.org/10.1007/s00027-026-01369-1
- Temporal changes in the Bothnian Sea food web reveal a deterioration linked to fishing pressure and recent eutrophication C. Faithfull et al. https://doi.org/10.1093/icesjms/fsaf025
- Biodiversity and spatial heterogeneity of fish communities in response to geo-environmental disturbances Z. Lei et al. https://doi.org/10.1016/j.ecss.2025.109322
- Community-level modelling of pelagic fish assemblages in the Baltic Sea reveals temporal shifts and effects of environmental drivers V. Mobilia et al. https://doi.org/10.1093/icesjms/fsag166
- Machine learning models reveal the spatial distribution and key environmental drivers of Coilia nasus in East China Sea's coastal waters Z. Xiao et al. https://doi.org/10.1016/j.ecss.2026.110139
- Consistent drivers of coastal biodiversity across the tree of life E. Sigsgaard et al. https://doi.org/10.1098/rspb.2025.3219
- Some like it salty - examining fish assemblages across an extreme salinity gradient, Shark Bay, Western Australia K. Richards et al. https://doi.org/10.1016/j.marenvres.2025.107307
- Integrating fish taxonomic and functional diversity, co-occurrence networks, and assembly processes to resolve seasonal community dynamics using eDNA metabarcoding in Xiamen Bay, China Y. Zhou et al. https://doi.org/10.1016/j.marenvres.2026.108241
- Fish species detection by environmental DNA metabarcoding by three surface sampling methods S. Ahmed et al. https://doi.org/10.1016/j.rsma.2025.104557
- Systemic food web reorganization due to multiple pressures in seven Baltic Sea sub-basins C. Faithfull et al. https://doi.org/10.1093/icesjms/fsag112
- Documenting the ichthyofauna and the current conservation status of one of the largest Brazilian bays J. de Oliveira-Silva et al. https://doi.org/10.1016/j.rsma.2024.103646
- Improving assessments of coastal ecosystems – Adjusting coastal fish indicators to variation in ambient environmental factors R. Naddafi et al. https://doi.org/10.1016/j.ecolind.2022.109604
- Identifying priority areas for conservation to promote connectivity and mitigate the impacts of anthropogenic disturbance E. Sacre et al. https://doi.org/10.1111/cobi.70083
Saved (final revised paper)
Latest update: 24 Oct 2026
Short summary
Understanding species richness patterns remains a challenge for biodiversity management. We estimated fish species richness over a coastal salinity gradient (3–32) with a method that allowed comparing data from various sources. Species richness was 3-fold higher at high vs. low salinity, and salinity influenced species’ habitat preference, mobility and feeding type. If climate change causes upper-layer freshening of the Baltic Sea, further shifts along the identified patterns may be expected.
Understanding species richness patterns remains a challenge for biodiversity management. We...
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